Anonymous posted on Tuesday, January 11, 2005 - 6:49 am
I am doing survival analysis similar to 'Muthén, B. & Masyn, K. (2001). Discrete-time survival mixture analysis. (#92)'. This works if I try to explain survival with observed independent variables. However, if I include a latent independent variable I get an error message:
*** ERROR The following MODEL statements are ignored: * Statements in the OVERALL class: F ON E * Statements in Class 1: F ON E
F is survival and E is a latent independent variable to explain survival chance.
Is it possible to use latent independent variables in survival analysis (in Mplus 2.12)?
Pablo Mora posted on Wednesday, April 30, 2008 - 9:41 pm
I am conducting survival analysis using latent intercept and slope as predictors of mortality. Everything looks fine except that when I look at the unstandardized values one of the vars' significance is .08 and when I look at the standardized value the significance is < .01. Do you know why this is happening and what results I should trust?
Nan Zhang posted on Monday, June 21, 2010 - 2:23 pm
Dear Linda I have a question about the latent factor score in the Cox model with continuous a latent factor-- What is the estimated latent factor score based on? Is it related to the correlations or Eigen values?
See Technical Appendix 11 for information on how Mplus estimates factor scores. That being said, I would not use factor scores as covariates in a Cox regression. I would define the factors in the MODEL command using the BY option and use these factors as covariates.
Lena Herich posted on Sunday, August 21, 2011 - 5:12 pm
Hi ! I am estimating a Cox regression model with some covariates. Is it possible to save the estimated survival (or hazard) function in Mplus Version 5/6 ?
The are described generally under the STANDARDIZED option in the user's guide. See also Technical Appendix 3 on the website.
Lena Herich posted on Tuesday, October 04, 2011 - 1:12 pm
I found the description and see how the parameters are calculated. Now I can interpretate the parameter estimates as the change in y in sd for a sd change in x. For this I am using the variance of the survival time, which is given in the Tech4 output.
I was wondering if you can give me a reference on how this variance is calculated ?